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Age-standardized and cumulative incidence rates (three-digit ... - IARC

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<strong>Age</strong>-<strong>st<strong>and</strong>ardized</strong> (world) <strong>incidence</strong> (per 100,000) <strong>and</strong><br />

<strong>cumulative</strong> (0-74) <strong>incidence</strong> (percent)<br />

<strong>rates</strong> <strong>and</strong> st<strong>and</strong>ard errors<br />

Large bowel (C18-21) (contd)<br />

MALE<br />

Cases ASR(W) CUM 0-74<br />

FEMALE<br />

Cases ASR(W) CUM 0-74<br />

Asia (contd)<br />

*India, Ahmedabad 303 4.8 0.29 0.58 0.04 178 3.1 0.24 0.38 0.03<br />

*India, Bangalore 417 4.9 0.25 0.57 0.04 331 4.5 0.26 0.55 0.04<br />

India, Chennai (Madras) 398 5.0 0.26 0.56 0.04 308 4.1 0.24 0.49 0.03<br />

*India, Delhi 726 5.6 0.22 0.66 0.03 431 4.0 0.20 0.48 0.03<br />

*India, Karunagappally 26 3.1 0.62 0.51 0.11 26 2.7 0.53 0.33 0.07<br />

India, Mumbai (Bombay) 1182 6.7 0.21 0.81 0.03 834 5.5 0.20 0.68 0.03<br />

*India, Nagpur 121 6.1 0.58 0.67 0.07 80 4.6 0.53 0.54 0.07<br />

*India, Poona 264 6.3 0.41 0.72 0.06 193 4.9 0.36 0.55 0.05<br />

*India, Triv<strong>and</strong>rum 94 4.1 0.42 0.45 0.06 75 3.0 0.35 0.38 0.05<br />

Israel: Jews 5721 40.9 0.57 4.80 0.08 5486 32.2 0.47 3.75 0.07<br />

Israel: Jews born in Israel 532 30.6 1.56 3.51 0.22 532 26.0 1.29 3.02 0.18<br />

Israel: Jews born in Europe or America 3942 48.5 0.91 5.82 0.13 3851 37.5 0.75 4.41 0.10<br />

Israel: Jews born in Africa or Asia 1247 32.7 1.17 3.76 0.13 1103 25.0 0.81 2.91 0.11<br />

Israel: Non-Jews 176 13.4 1.06 1.56 0.16 158 10.9 0.89 1.31 0.13<br />

Japan, Hiroshima 3060 86.7 1.58 10.79 0.23 1779 40.2 0.99 4.95 0.14<br />

*Japan, Miyagi Prefecture 4943 55.3 0.80 6.84 0.11 3359 29.5 0.54 3.47 0.07<br />

*Japan, Nagasaki Prefecture 3817 59.0 0.98 7.31 0.14 2717 29.7 0.63 3.50 0.08<br />

*Japan, Osaka Prefecture 11335 35.8 0.34 4.30 0.05 8486 20.9 0.24 2.43 0.03<br />

*Japan, Saga Prefecture 1515 39.9 1.06 4.82 0.15 1172 22.3 0.73 2.56 0.10<br />

*Japan, Yamagata Prefecture 3214 54.9 1.01 6.74 0.14 2549 32.9 0.74 3.88 0.10<br />

*Korea, Busan 629 21.9 0.96 2.75 0.15 571 14.4 0.61 1.66 0.09<br />

*Korea, Daegu 393 22.1 1.20 2.62 0.17 398 16.2 0.82 1.97 0.12<br />

*Korea, Kangwha County 37 14.6 2.44 2.04 0.38 31 9.9 1.92 1.22 0.25<br />

*Korea, Seoul 4622 27.0 0.43 3.37 0.07 4092 17.2 0.28 2.10 0.04<br />

*Kuwait: Kuwaitis 67 10.3 1.32 1.26 0.20 60 8.7 1.19 1.16 0.19<br />

*Kuwait: Non-Kuwaitis 79 5.2 1.18 0.53 0.15 55 13.6 2.39 1.85 0.42<br />

*Oman: Omani 112 5.7 0.55 0.67 0.08 47 2.7 0.40 0.35 0.06<br />

*Pakistan, South Karachi 86 5.3 0.62 0.60 0.09 65 5.5 0.74 0.63 0.10<br />

*Philippines, Manila 1254 22.7 0.69 2.80 0.11 1139 16.5 0.51 1.92 0.08<br />

*Philippines, Rizal 925 16.2 0.59 1.89 0.09 912 13.6 0.47 1.61 0.07<br />

Singapore: Chinese 2299 44.1 0.93 5.28 0.14 2100 31.7 0.71 3.66 0.10<br />

Singapore: Indian 58 8.7 1.17 1.01 0.15 54 15.1 2.18 1.80 0.30<br />

Singapore: Malay 159 20.2 1.64 2.55 0.24 129 16.3 1.46 2.09 0.21<br />

*Thail<strong>and</strong>, Bangkok 1046 16.6 0.53 1.90 0.08 871 11.1 0.39 1.28 0.06<br />

*Thail<strong>and</strong>, Chiang Mai 286 8.0 0.48 0.98 0.07 258 7.0 0.44 0.87 0.06<br />

*Thail<strong>and</strong>, Khon Kaen 237 7.4 0.50 0.91 0.07 177 4.9 0.37 0.59 0.05<br />

*Thail<strong>and</strong>, Lampang 218 11.1 0.76 1.42 0.12 161 7.6 0.61 0.95 0.09<br />

*Thail<strong>and</strong>, Songkhla 125 6.5 0.59 0.76 0.09 87 4.1 0.45 0.46 0.06<br />

*Viet Nam, Hanoi 460 10.7 0.50 331 6.7 0.37<br />

*Viet Nam, Ho Chi Minh City 768 13.0 0.48 1.56 0.07 785 9.5 0.35 1.17 0.05<br />

Europe<br />

Austria, Tyrol 753 35.6 1.33 4.29 0.19 796 24.2 0.97 2.73 0.13<br />

Austria, Vorarlberg 371 36.5 1.91 4.56 0.29 423 28.0 1.50 3.35 0.21<br />

+*Belarus 6984 24.6 0.30 3.15 0.04 7866 16.8 0.20 2.12 0.03<br />

*Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 3164 35.0 0.64 4.20 0.09 2851 23.6 0.50 2.66 0.07<br />

*Belgium, Limburg 451 38.7 1.85 4.90 0.27 408 27.8 1.46 3.29 0.21<br />

*Croatia 5264 34.0 0.48 4.36 0.07 4305 19.3 0.31 2.39 0.04<br />

Czech Republic 18841 55.0 0.41 6.74 0.06 15040 29.8 0.26 3.50 0.04<br />

Denmark 8282 38.3 0.44 4.60 0.07 8535 29.7 0.37 3.54 0.05<br />

Estonia 1322 30.0 0.83 3.74 0.12 1594 20.3 0.54 2.50 0.08<br />

Finl<strong>and</strong> 4640 25.4 0.38 2.97 0.05 5320 19.2 0.30 2.18 0.04<br />

France, Bas-Rhin 1654 51.9 1.29 6.34 0.19 1244 26.3 0.83 3.04 0.11<br />

*France, Calvados 910 41.0 1.40 4.97 0.20 816 24.6 0.98 2.83 0.14<br />

France, Cote d’Or 733 38.1 1.47 4.47 0.21 621 21.9 1.02 2.45 0.14<br />

France, Doubs 669 38.8 1.53 4.62 0.22 560 23.6 1.11 2.65 0.15<br />

France, Haut-Rhin 1099 47.8 1.45 5.91 0.22 1027 30.2 1.04 3.44 0.14<br />

*France, Herault 1246 33.7 1.01 3.92 0.14 1150 23.3 0.79 2.62 0.11<br />

France, Isere 1500 41.9 1.10 4.98 0.16 1315 26.7 0.82 2.99 0.11<br />

*France, Manche 570 34.8 1.52 4.12 0.21 479 21.2 1.14 2.36 0.15<br />

*France, Somme 747 36.4 1.39 4.28 0.19 573 20.8 0.98 2.28 0.13<br />

France, Tarn 675 37.7 1.58 4.59 0.22 530 22.6 1.20 2.58 0.16<br />

Germany, Saarl<strong>and</strong> 2143 48.3 1.06 5.86 0.15 2309 33.3 0.79 3.86 0.11<br />

Icel<strong>and</strong> 257 28.4 1.85 3.31 0.27 223 20.7 1.52 2.35 0.22<br />

Irel<strong>and</strong> 3952 43.2 0.71 5.27 0.10 3008 26.7 0.53 3.18 0.08<br />

Italy, Biella Province 280 49.9 3.12 6.50 0.45 233 27.5 2.21 2.96 0.27<br />

Italy, Ferrara Province 887 45.9 1.63 5.60 0.23 786 30.5 1.26 3.61 0.17<br />

*Italy, Florence 2705 46.2 0.94 5.63 0.13 2366 30.1 0.71 3.51 0.10<br />

Italy, Genoa Province 1778 44.6 1.14 5.26 0.15 1663 28.9 0.87 3.30 0.11<br />

Italy, Liguria<br />

Italy, Macerata Province 648 41.8 1.77 4.94 0.24 586 29.8 1.45 3.47 0.19<br />

Italy, Modena Province 1157 38.2 1.18 4.60 0.17 979 24.7 0.91 2.85 0.12<br />

Italy, North East 2618 45.7 0.93 5.41 0.13 2366 27.8 0.68 3.12 0.09<br />

+* Important-See notes on population page<br />

553

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